运行spark官方的graphx 示例 ComprehensiveExample.scala报错解决

时间:2022-02-18 13:41:03

运行spark官方的graphx 示例 ComprehensiveExample.scala报错解决

在Idea中,直接运行ComprehensiveExample.scala,报需要指定master异常。

修改源码:指定master为local模式,

 val spark = SparkSession
.builder
.appName(s"${this.getClass.getSimpleName}").master("local[2]")
.getOrCreate()

继续运行,报如下错误:

Exception in thread "main" java.lang.IllegalAccessError: tried to access method com.google.common.base.Stopwatch.<init>()V from class org.apache.hadoop.mapred.FileInputFormat
at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:312)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:199)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:250)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:250)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:250)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2094)
at org.apache.spark.rdd.RDD.count(RDD.scala:1158)
at org.apache.spark.graphx.GraphLoader$.edgeListFile(GraphLoader.scala:94)
at graphx.ComprehensiveExample$.main(ComprehensiveExample.scala:53)
at graphx.ComprehensiveExample.main(ComprehensiveExample.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:144)

com.google.common.base.Stopwatch 在guava jar包中,查了相关资料,说可能是guava包的版本问题,

我的测试程序使用的版本是18.0,而spark官方源码使用的是14.0.1,spark 2.2.1 使用依赖的hadoop 版本是2.6.5。

        <dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>14.0.1</version>
</dependency>

修改后重新运行spark任务,问题解决。